Text skew detection using log-polar transformation
Darko Brodić, Zoran Milivojević · International Journal of Reasoning-based Intelligent Systems · 2013
Several approaches have been taken for document text image skew detection. Their assignment was in the domain of efficiency, accuracy and robustness. This paper introduces the method for text skew detection based on the log–polar transformation. The original image is transformed in log–polar domain as well as the control ellipse. Their cross–correlation established the cost function. The extraction of the cost function maximum represents the text skew value in the region. The method is characterised by the accuracy and computational time inexpensiveness.